Apache Flink Stateful Functions (by apache)

Flink-statefun Alternatives

Similar projects and alternatives to flink-statefun

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better flink-statefun alternative or higher similarity.

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flink-statefun reviews and mentions

Posts with mentions or reviews of flink-statefun. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-07.
  • flink-statefun VS quix-streams - a user suggested alternative
    2 projects | 7 Dec 2023
  • Snowflake - what are the streaming capabilities it provides?
    3 projects | /r/dataengineering | 10 May 2023
    When low latency matters you should always consider an ETL approach rather than ELT, e.g. collect data in Kafka and process using Kafka Streams/Flink in Java or Quix Streams/Bytewax in Python, then sink it to Snowflake where you can handle non-critical workloads (as is the case for 99% of BI/analytics). This way you can choose the right path for your data depending on how quickly it needs to be served.
  • JR, quality Random Data from the Command line, part I
    8 projects | dev.to | 7 May 2023
    Sometimes we may need to generate random data of type 2 in different streams, so the "coherency" must also spread across different entities, think for example to referential integrity in databases. If I am generating users, products and orders to three different Kafka topics and I want to create a streaming application with Apache Flink, I definitely need data to be coherent across topics.
  • Brand Lift Studies on Reddit
    1 project | /r/RedditEng | 17 Apr 2023
    The Treatment and Control audiences need to be stored for future low-latency, high-reliability retrieval. Retrieval happens when we are delivering the survey, and informs the system which users to send surveys to. How is this achieved at Reddit’s scale? Users interact with ads, which generate events that are sent to our downstream systems for processing. At the output, these interactions are stored in DynamoDB as engagement records for easy access. Records are indexed on user ID and ad campaign ID to allow for efficient retrieval. The use of stream processing (Apache Flink) ensures this whole process happens within minutes, and keeps audiences up to date in real-time. The following high-level diagram summarizes the process:
  • Query Real Time Data in Kafka Using SQL
    7 projects | dev.to | 23 Mar 2023
    Most streaming database technologies use SQL for these reasons: RisingWave, Materialize, KsqlDB, Apache Flink, and so on offering SQL interfaces. This post explains how to choose the right streaming database.
  • How to choose the right streaming database
    8 projects | dev.to | 16 Mar 2023
    Apache Flink.
  • 5 Best Practices For Data Integration To Boost ROI And Efficiency
    3 projects | /r/ReviewNPrep | 12 Mar 2023
    There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka.
  • Forward Compatible Enum Values in API with Java Jackson
    5 projects | dev.to | 11 Feb 2023
    We’re not discussing the technical details behind the deduplication process. It could be Apache Flink, Apache Spark, or Kafka Streams. Anyway, it’s out of the scope of this article.
  • Which MQTT (or similar protocol) broker for a few 10k IoT devices with quite a lot of traffic?
    2 projects | /r/MQTT | 16 Jan 2023
    One can also consider https://flink.apache.org/ instead of Kafka for connecting a large number of devices.
  • Apache Pulsar vs Apache Kafka - How to choose a data streaming platform
    3 projects | dev.to | 13 Dec 2022
    Both Kafka and Pulsar provide some kind of stream processing capability, but Kafka is much further along in that regard. Pulsar stream processing relies on the Pulsar Functions interface which is only suited for simple callbacks. On the other hand, Kafka Streams and ksqlDB are more complete solutions that could be considered replacements for Apache Spark or Apache Flink, state-of-the-art stream-processing frameworks. You could use them to build streaming applications with stateful information, sliding windows, etc.
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    www.saashub.com | 18 Jul 2024
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